کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9483461 | 1627373 | 2005 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A reduced-order strategy for 4D-Var data assimilation
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
اقیانوس شناسی
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چکیده انگلیسی
This paper presents a reduced-order approach for four-dimensional variational data assimilation, based on a prior EOF analysis of a model trajectory. This method implies two main advantages: a natural model-based definition of a multivariate background error covariance matrix Br, and an important decrease of the computational burden of the method, due to the drastic reduction of the dimension of the control space. An illustration of the feasibility and the effectiveness of this method are given in the academic framework of twin experiments for a model of the equatorial Pacific Ocean. It is shown that the multivariate aspect of Br brings additional information which substantially improves the identification procedure. Moreover the computational cost can be decreased by one order of magnitude with regard to the full-space 4D-Var method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Marine Systems - Volume 57, Issues 1â2, August 2005, Pages 70-82
Journal: Journal of Marine Systems - Volume 57, Issues 1â2, August 2005, Pages 70-82
نویسندگان
C. Robert, S. Durbiano, E. Blayo, J. Verron, J. Blum, F.-X. Le Dimet,